DocumentCode :
3049897
Title :
An enhanced method for assessing the effect of voltage sag in power distribution system
Author :
Yun, Sang-Yun ; Oh, Jung-Hwan ; Kim, Jae-Chul ; Rim, Seong-Jeong
Author_Institution :
Dept. of Electr. Eng., Soongsil Univ., Seoul, South Korea
Volume :
1
fYear :
1999
fDate :
18-22 Jul 1999
Firstpage :
518
Abstract :
This paper presents a method to evaluate the effect of voltage sags in power distribution systems using the historical component reliability data of electric utilities. The proposed method is based on the SCBEMA curve that expresses the representative susceptibility curve by voltage sag for each customer type. These curves are made using the CBEMA curves obtained from experiments on the customers´ sensitive equipment. In order to transform SCBEMA curves into the probability damage by voltage sag, the fuzzy membership function is used in this paper. Case studies were performed to analyze the effect of voltage sag by varying parameters. The Monte Carlo simulation method and the historical reliability data in KEPCO are used for case studies
Keywords :
Monte Carlo methods; load (electric); power distribution faults; power distribution reliability; probability; Monte Carlo simulation method; SCBEMA curve; electric utilities; fuzzy membership; historical component reliability data; power distribution system; probability damage; susceptibility curve; voltage sag effect assessment; Circuit breakers; Circuit faults; Frequency; Monitoring; Performance analysis; Power distribution; Power quality; Power system reliability; Student members; Voltage fluctuations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society Summer Meeting, 1999. IEEE
Conference_Location :
Edmonton, Alta.
Print_ISBN :
0-7803-5569-5
Type :
conf
DOI :
10.1109/PESS.1999.784404
Filename :
784404
Link To Document :
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